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Abstract #0198

Intravoxel incoherent motion improves diffusion-weighted imaging in the detection of response to neoadjuvant chemotherapy in breast cancer

Sai Man Cheung1, Wing Shan Wu1, Nicholas Senn1, Ravi Sharma2, Trevor McGoldrick2, Tanja Gagliardi1,3, Ehab Husain4, Yazan Masannat5, and Jiabao He1,6
1Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom, 2Department of Oncology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3Department of Radiology, Royal Marsden Hospital, London, United Kingdom, 4Department of Pathology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 5Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 6Translational and Clinical Research Institute, Newcastle University, Aberdeen, United Kingdom

Synopsis

Keywords: Breast, MR-Guided InterventionsBreast cancer is a major and expanding health challenge, and neoadjuvant chemotherapy (NACT) is increasingly prescribed to facilitate breast surgery. However, response to NACT is highly inconsistent, imposing an ongoing demand for improved imaging methods for early response identification. Tissue perfusion, a sensitive marker of cancer metabolism, can be derived from intravoxel incoherent motion (IVIM) model, and recent Bayesian algorithm yields increased sensitivity and precision in pancreatic cancer. We therefore hypothesise that IVIM model powered by Bayesian algorithm is able to detect early treatment-induced changes in tumour perfusion and diffusion, with the potential to impact patient care pathway.

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